The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme
IEEE Transactions on Software Engineering
Load-balancing heuristics and process behavior
SIGMETRICS '86/PERFORMANCE '86 Proceedings of the 1986 ACM SIGMETRICS joint international conference on Computer performance modelling, measurement and evaluation
Parallel Processing of Adaptive Meshes with Load Balancing
IEEE Transactions on Parallel and Distributed Systems
Load Balancing in Parallel Computers: Theory and Practice
Load Balancing in Parallel Computers: Theory and Practice
Dynamic Cluster Resource Allocations for Jobs with Known and Unknown Memory Demands
IEEE Transactions on Parallel and Distributed Systems
Diffusive Load-Balancing Policies for Dynamic Applications
IEEE Concurrency
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Agents Based Load Balancing with Component Distribution Capability
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Improving Scheduling of Tasks in a Heterogeneous Environment
IEEE Transactions on Parallel and Distributed Systems
A spatial model of interaction in large virtual environments
ECSCW'93 Proceedings of the third conference on European Conference on Computer-Supported Cooperative Work
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In this paper, we present a new extension and reinterpretation of one of the most successful models of awareness in Computer Supported Cooperative Work (CSCW), called the Spatial Model of Interaction (SMI), which manages awareness of interaction through a set of key concepts, to provide task delivery in collaborative distributed systems. This model also applies some theoretical principles and theories of multi-agents systems to create a collaborative and cooperative environment that can be able to provide an autonomous, efficient and independent management of the amount of resources available in a cluster. This model has been implemented in a cluster based on a multi-agent architecture. Some results are presented with the aim of emphasizing the performance speedup of the system using the Collaborative Awareness Model for Task-Balancing-Delivery (CAMT).